Frequently Asked Questions

MEV is an AI medical agent company for tertiary general hospitals and university hospitals. It supports three areas — insurance reimbursement & claims optimization (RCM), automated clinical coding conversion & recommendation, and patient referral & back-referral — within the clinician's existing EMR/OCS workflow. Every recommendation comes with evidence, and the physician makes the final decision.

MEV's AI agent is not a single diagnostic aid; it supports the entire administrative workflow that runs from records to coding, claims, and referrals. It generates recommendations and drafts within the EMR/OCS screens without adopting a separate system, and attaches a source, physician verification, and an audit trail to every output.

Just before submission, we check for denial-risk items and missed claims against the review criteria, and show the evidence for why each item is at risk. We monitor appropriateness-evaluation metrics — including New DRG-based bundled payment, DRG, and non-covered services — to protect rightful revenue.

From medical records, readings, and procedure records, it recommends diagnosis (KCD), reimbursement, and procedure codes, and shows the supporting record text alongside. The AI only goes up to recommendation; the physician makes the final decision, and confirmed codes are linked directly to EDI claims.

It automatically identifies patients who need back-referral, drafts referral and back-referral letters, and matches them with partner institutions. It helps manage the back-referral-rate metric for tertiary general hospital designation review.

No. MEV follows a Human-in-the-loop principle. The AI presents recommendations and drafts together with evidence, and the final confirmation is always made by the physician. Who confirmed what and when is recorded in the audit log.

Patient data never leaves the hospital network. We support on-premises and air-gapped (network-isolated) deployment, process data after pseudonymization, and do not transmit identifying information externally.

We build to the standards of the Medical Service Act and the Personal Information Protection Act from the design stage, with built-in procedures to verify the clinical validity and evidence of results. We also review applicability as an MFDS medical device (SaMD).

MEV is not a separate program; it operates within the clinician's existing EMR/OCS screens. It surfaces recommendations without a separate login or double entry, and without interrupting the care flow.

In a 30-minute demo, we show you your area of interest across claims, coding, and referrals firsthand. Measured metrics from adopting hospitals will be published separately once the data is confirmed; we do not present estimates as if they were facts.